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An Epidemiological Study on the Prevalence of Atrial Fibrillation in the Chinese Population of Mainland China
Open accessAbstract
BACKGROUND: Atrial fibrillation (AF) is the most common arrhythmia encountered in clinical practice. Since only limited data on the Chinese population, which is the largest in the world, is available, we conducted an epidemiological study on the prevalence and risk factors of AF in mainland China. METHODS: This population-based study conducted by cluster sampling comprised 29079 participants forming 14 cohorts from 13 provinces across China, where the population was nearly 1 billion. Every participant underwent electrocardiogram and physical examinations and responded to the interviewer-led questionnaire(s). Univariate and multiple statistical analyses were conducted to explore the relationship between AF prevalence and risk factors. RESULTS: The age-standardized prevalence of AF in China (>or=30 y) was 0.65%, and it increased with age. Men showed a higher prevalence of AF than women (0.91% [age-standardized, 0.66%] vs. 0.65% [0.63%], P = 0.013); several significant risk factors (age, hyperthyroidism, coronary heart disease, and rheumatic heart disease) were identified for AF in the general population. Stroke prevalence was much higher in AF patients than in non-AF people (12.95% vs. 2.28%, P < 0.001). AF was confirmed to be a significant independent risk factor for stroke prevalence in the studied population (OR = 2.776, [1.814, 4.248], P < 0.001). We found that AF patients received poor treatment (2.7%, warfarin; 39.7%, aspirin). DISCUSSION: This study conducted on a large sample size demonstrates that AF prevalence in mainland China is slightly lower than that in Western countries and similar to that in Asian areas, and confirms that AF is a serious public health problem in China. We identified several potential risk factors, but their associations with AF still need to be further studied.
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“The overall prevalence of AF varies by ancestry; prevalence studies of Asian populations have been less consistent than those of North American and European poulations.”
From Atrial fibrillation in women: epidemiology, pathophysiology, presentation, and prognosis (2016) · cites this paper as [22]
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“whereas data from Singapore indicated that prevalence was lower in women (0.6% versus 2.6%).22”
From Atrial fibrillation in women: epidemiology, pathophysiology, presentation, and prognosis (2016) · cites this paper as [22]
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Metadata
- Authors
- Zhou, Z., & Hu, D.
- Affiliations
- Peking University (CN)
- ORCID
- Hu, Dayi
- Venue
- Journal of Epidemiology
- Publisher
- Japan Epidemiological Association
- Published
- 2008
- Volume
- 18
- Issue
- 5
- Pages
- 209-216
- ISSN
- 0917-5040 (ISSN-L)
- 1349-9092
- PMC
- PMC4771592
- OpenAlex
- W1997977417
- Cited by
- 257
- References
- 33
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 12 · 2023: 13 · 2022: 21 · 2021: 18 · 2020: 16 · 2019: 13 · 2018: 22 · 2017: 30 · 2016: 22 · 2015: 21 · 2014: 22 · 2013: 13 · 2012: 11
- FWCI
- 4.56
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of Epidemiology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Greater South Information System
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Atrial Fibrillation Management and Outcomes
- Health Sciences › Medicine › Clinical Neurology › Acute Ischemic Stroke Management
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cardiovascular and Diving-Related Complications
- Keywords
- atrial fibrillation, prevalence, risk factors, stroke, hyperthyroidism, coronary artery disease, rheumatic heart disease, sex differences, anticoagulation, warfarin, aspirin, Chinese population
- MeSH terms
- Adult, Aged, Aged, 80 and over, Alcohol Drinking, Anti-Arrhythmia Agents, Atrial Fibrillation, China, Female, Health Surveys, Humans, Male, Middle Aged, Surveys and Questionnaires, Smoking, Prevalence, Cluster Analysis, Logistic Models, Odds Ratio, Epidemiologic Studies, Risk Assessment
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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